Code Explanation:
1. Importing dropwhile from itertools
from itertools import dropwhile
This line imports the dropwhile function from Python's built-in itertools module.
dropwhile(predicate, iterable) returns an iterator that drops items from the iterable as long as the predicate is true; once it becomes false, it yields every remaining item (including the first one that made the predicate false).
2. Defining a Generator Function stream()
def stream():
for i in [1, 3, 5, 2, 4]:
yield i
This defines a generator function named stream.
Inside the function, a for loop iterates over the list [1, 3, 5, 2, 4].
The yield keyword makes this a generator, producing one value at a time instead of all at once.
First yields 1, then 3, then 5, then 2, then 4.
3. Applying dropwhile
dropped = dropwhile(lambda x: x < 4, stream())
dropwhile starts consuming the stream of values only while the condition (x < 4) is True.
The lambda function is lambda x: x < 4, i.e., drop values less than 4.
Let’s go through the values one-by-one:
1 → < 4 → dropped.
3 → < 4 → dropped.
5 → NOT < 4 → stop dropping. Start yielding from here.
So the remaining values to be yielded are: 5, 2, 4.
4. Printing the Result
print(list(dropped))
This converts the dropped iterator into a list and prints it.
From above, we determined the iterator yields: [5, 2, 4].
Output:
[5, 2, 4]
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